Cough is a primary symptom of most respiratory diseases, and changes in cough
characteristics provide valuable information for diagnosing respiratory diseases. The …

Syndromic surveillance is an effective tool for enabling the timely detection of infectious
disease outbreaks and facilitating the implementation of effective mitigation strategies by …

The COVID-19 pandemic has presented unprecedented challenges to public health, with
the detection and isolation of potentially infected patients being one of the most crucial …

Abstract The Advent of Artificial Intelligence (AI) has led to the use of auditory data for
detecting various diseases, including COVID-19. SARS-CoV-2 infection has claimed more …

IoT technology for cough detection is promising in healthcare and public health monitoring. It
offers a real-time, non-intrusive, and data-driven methodology for identifying and analyzing …

The rate of using artificial intelligence (AI) methods in the healthcare industry has been
accelerating. Numerous scholars and health advisers are interested in the possible …

Coswara is a crowdsourced dataset of 2020 data samples, each corresponding to a unique
subject. The dataset was collected through a web application, where participants—both …

The advent of artificial intelligence (AI) has revolutionized diagnostic procedures, promising
enhanced accuracy and efficiency across various domains. This dissertation leverages AI …

One of the leading causes of death is represented by respiratory disease. In this context,
screening is really crucial in order to diagnose respiratory disorders early. In this paper, we …

Early and accurate identification is crucial for the efficient treatment of respiratory diseases.
Leveraging the capabilities of Deep-Learning (DL), this work presents a Convolutional …